Triple
T30807148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Танец Феи Драже |
E784533
|
entity |
| Predicate | место первого исполнения |
P4982
|
FINISHED |
| Object | Мариинский театр, Санкт-Петербург |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Мариинский театр, Санкт-Петербург | Statement: [Танец Феи Драже, место первого исполнения, Мариинский театр, Санкт-Петербург]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: место первого исполнения Context triple: [Танец Феи Драже, место первого исполнения, Мариинский театр, Санкт-Петербург]
-
A.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
B.
firstPerformance
chosen
Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
-
C.
firstMovement
Indicates that an entity represents the initial or earliest movement, action, or motion in a sequence of movements.
-
D.
firstSong
Indicates that one song is the earliest or initial song in a specified sequence, collection, or context.
-
E.
الملحن
Indicates that an entity is the composer or creator of a musical work for another entity (such as a song, piece, or performance).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6903f52948190a9177a14145f6274 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:43 p.m.